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Designing and Delivering Genomics Training for Community Health Workers: A Collaborative, Equity-Centered Approach

This paper describes the collaborative, equity-centered development and implementation of the PREFER CHW training program, which equips community health workers with essential genomics knowledge to improve access and engagement in historically underserved populations.

Original authors: Caitlin G. Allen, Marie Smith, Vickie Reed, Ashley Evans, Tamika Williams, Sarah Covington-Kolb, Greg Green, Cassandra Wright Glenn, Brea Burke, Laurie Hoffma, Kelsey Jaeger, Charkarra Anderson-Lewis
Published 2026-09-02
📖 5 min read🧠 Deep dive

Original authors: Caitlin G. Allen, Marie Smith, Vickie Reed, Ashley Evans, Tamika Williams, Sarah Covington-Kolb, Greg Green, Cassandra Wright Glenn, Brea Burke, Laurie Hoffma, Kelsey Jaeger, Charkarra Anderson-Lewis, Paula S. Ramos, Paige Menking, Jaslyn A. Grullon, Ingrid Wagner, Yue Guan, Audrey McCrary-Quarles, Susan Mayfield-Johnson

Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

Genes are the biological instructions written inside nearly every cell of the human body, determining everything from eye color to susceptibility to certain diseases. For decades, scientists have studied these instructions to understand health and illness, but the people they studied were not a true cross-section of humanity. Most of the data comes from people of European ancestry, leaving out vast portions of the global population. This gap means that the medical breakthroughs derived from genetic research often work best for some groups while failing others, or even causing harm. To fix this, the scientific community needs to bring genetic knowledge directly to the communities that have been left behind. This requires more than just better data; it requires a workforce that can translate complex science into trusted, everyday conversations.

Enter the community health worker. These are local residents who serve as a bridge between their neighbors and the medical system. They are already trusted figures who help people navigate healthcare, understand their family medical histories, and connect with resources. However, until recently, these workers had little training in genetics. They were eager to learn, with surveys showing that nearly seven out of ten wanted more education on the subject, but they lacked the tools to explain how genes influence health or how to discuss family risks without causing fear. Without this knowledge, they could not effectively help their communities participate in genetic research or access precision medicine, which tailors treatment to an individual's genetic makeup.

A new initiative called PREFER CHW, which stands for Partnering to Build Understanding of Genomics Responsibly, set out to change this dynamic. Rather than having scientists in a university lab design a course and simply hand it down to community workers, the team built the program from the ground up with the workers themselves. The project brought together researchers from several universities and health organizations across the southeastern United States, including partners from South Carolina, Mississippi, Tennessee, and North Carolina. They recognized that for genetic education to be truly effective and trusted, it had to be co-created with the people who would deliver it.

The team developed a training curriculum that covered the basics of how genes work, how to talk about family health history, and the ethical rules around keeping personal data private. But the real innovation was in how they built and delivered this training. They used a method where community health workers and genetic experts sat down together to shape every lesson. They asked the workers what language made sense, what examples felt real, and what barriers they faced in their daily jobs. This process ensured the material was not just scientifically accurate, but also culturally relevant and easy to understand. The resulting course avoided heavy jargon, using plain language and real-world scenarios that fit the daily lives of the workers.

Once the curriculum was ready, the team trained a group of experienced community health workers to become the teachers. These trainers did not just learn the facts; they learned how to teach them to their peers. The training for the trainers was structured in stages, starting with online modules and moving to interactive workshops where they could practice explaining difficult concepts. Crucially, the actual training sessions for the wider group were led by a team of two: one genetic expert and one community health worker leader. This pairing showed that technical knowledge and lived experience were equally important. The materials provided to the workers included simple conversation guides, short videos, and one-page summaries that they could use immediately when talking to neighbors about their health.

The project also paid close attention to the structures that support the workers. Instead of treating the community partners as volunteers, the program established a governance board where community leaders had an equal say in decisions. They ensured that workers were compensated fairly for their time and that the training counted toward their professional credentials. This approach addressed a common problem where community partners are asked to give their time without resources, which can lead to burnout and mistrust. By sharing power and providing tangible support, the program built a foundation of trust that is essential when discussing sensitive topics like genetics.

The results of this approach suggest that community health workers are not only capable of understanding complex genetic concepts but are also eager to share that knowledge. The training helped them feel more confident in discussing family health histories and explaining how genes might influence risk. More importantly, the collaborative method used to create the program made the content feel relevant and usable. The workers reported that the training helped them see how they could fit genetic education into their existing roles, rather than seeing it as an extra burden. The program also created a network of support, connecting workers across different states so they could continue to learn from one another long after the formal training ended.

This work highlights that the path to equitable genetic medicine is not just about discovering new genes or building better labs. It is about building the human infrastructure needed to share that knowledge fairly. The PREFER CHW program demonstrates that when scientists and community leaders work together as true partners, they can create training that is both scientifically sound and deeply trusted. The study does not claim to have solved every problem in genetic health equity, nor does it suggest that one training course is enough to fix decades of exclusion. Instead, it offers a clear, practical model for how to begin. It shows that by listening to the people who serve their communities and giving them the tools and respect they need, we can start to close the gap between genetic science and the people it is meant to serve.

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